Comparison of methods of attenuation correction in myocardial scintigraphy with algorithms based on a based on a Convolutional Neural Network forattenuation correctio
- Conditions
- Coronary heart disease
- Registration Number
- DRKS00033102
- Lead Sponsor
- niversitätsklinikum Augsburg, Klinik für Nuklearmedizin
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 59
Patients who are suspected of having chronic CHD after appropriate basic cardiological diagnostics and who have a corresponding pre-test probability. The range of indications for cardiac imaging diagnostics is considered to be a pre-test probability of CHD
between 15 and 85% (average pre-test probability).
The patient must be 18 years of age at the time of inclusion. Pregnancy is excluded by standard laboratory chemistry prior to the examination.
- Refusal of the clinical examination or participation in the study
- Intolerance of the examination position due to other illnesses
- Minors (< 18 years of age) and patients with mental illnesses or patients
illnesses or patients who are not able to give written consent to the study.
to give written consent to the study
- Lying flat or sitting on a chair for more than 30 minutes is not possible
- Claustrophobia
- Acute coronary syndrome
- Unstable angina pectoris
- Cardiac arrhythmias with symptoms and/or impaired hemodynamics
- Symptomatic severe aortic stenosis
- Decompensated heart failure
- Acute pulmonary embolism
- Acute myocarditis
- Acute pericarditis
- Acute aortic dissection
- Main stem stenosis
- Valve disease of moderate severity
- Known electrolyte disturbances
- Arterial hypertension (RR > 200 mmHg syst., > 110 mmHg diast.)
- Tachyarrhythmia or bradyarrhythmia
- Hypertrophic cardiomyopathy and other forms of outflow tract obstruction
- Severe AV blockages
- Physical and/or psychological impairments
- Ventricular pacemaker rhythm
- Haemodynamically unstable patients or patients with acute myocardial infarction (ST segment elevation,
Creatinine kinase or MB isoenzyme eleva
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The aim of the study is to determine whether the CNN-based procedures for<br>attenuation correction methods with the classical attenuation correction methods used in routine attenuation correction methods used in routine lead to methodological differences in the image data and ultimately<br>also in the findings.
- Secondary Outcome Measures
Name Time Method Furthermore, possible strengths and weaknesses of the individual strengths and weaknesses of the individual methods in order to determine whether one method is superior to the other. In addition, possible pitfalls in the diagnosis can be can be identified in order to further reduce the occurrence of false-positive or false-negative findings in the future.